Smart Waste Management: Leveraging IoT, AI, and Analytics
Transform your approach to waste management by harnessing the power of cutting-edge technologies like the Internet of Things (IoT), Artificial Intelligence (AI), and advanced data analytics. Join our expertly designed program to master innovative strategies that drive efficiency and sustainability in modern waste management practices.
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Corporate Pricing
Pax:
Training Provider Pricing
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Features
Classification
Industry Specific Course
- Tailored to specific industry needs
- Focuses on specialized tools and techniques
- Ensures alignment with current and future standards
- Provides targeted, practical training
- Verified by industry experts
Subsidies
What you'll learn
- Discover various smart sensors used for real-time monitoring of waste levels.
- Evaluate successful global implementations to understand scalability and adaptability.
- Understand the challenges of traditional waste management and the transformative role of technology.
- Gain skills in data collection, analysis, and using analytics for operational optimization.
- Explore IoT applications specific to waste management through real-world case studies.
- Learn about AI applications in waste sorting, processing, and predictive analytics.
- Examine communication technologies essential for maintaining connectivity in urban environments.
- Develop a comprehensive strategy for implementing smart waste management solutions.
Why should you attend?
The course begins by addressing the current challenges faced in traditional waste management systems, highlighting inefficiencies and environmental impacts. It then explores how technology is transforming this sector, with a focus on the benefits of adopting smart solutions that leverage IoT, AI, and data analytics. Participants will gain an understanding of the Internet of Things (IoT) and its specific applications in waste management. Through case studies, learners will see real-world examples of IoT-enabled waste solutions that have improved efficiency and sustainability. The course delves into the role of Artificial Intelligence (AI) in waste processes, including sorting and processing. Predictive analytics for waste generation is also covered, providing insights into future trends and helping organizations plan more effectively. Data analytics is emphasized as a critical tool for informed decision-making in waste management. Participants will learn about collecting and analyzing waste data to optimize operations and improve outcomes. Smart sensors and devices are explored, focusing on their types, real-time monitoring capabilities, and integration with management systems. Communication networks and protocols are discussed to ensure connectivity and secure data transmission in urban environments. Case studies highlight successful implementations globally, offering lessons learned and insights into scalability. The course concludes with strategic planning for smart waste management, integration with existing systems, data management, regulatory considerations, measuring success through key performance indicators, and exploring future trends.
Course Syllabus
Day 1 - Smart Waste Fundamentals
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - IoT and AI Applications
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Ratings and Reviews
Instructor
Tasmeea Rahman is a highly skilled and versatile professional with a rich background in both academia and industry. Currently serving as a Freelance Corporate Trainer at Abundent in Kuala Lumpur, Malaysia, Tasmeea specializes in developing content and providing training on a wide array of subjects including Machine Learning, Data Analysis with Python, MS Excel, Power BI, Minitab, Jaspersoft, Apache Superset, TIBCO Spotfire, and various electrical and mechanical 2D/3D design tools such as AutoCAD and Autodesk Fusion 360. Her role also encompasses project management training. Previously, Tasmeea worked as an Adjunct Lecturer at Leading University in Sylhet, Bangladesh where she was involved in curriculum development and delivering engaging lectures on electrical and electronics courses. She has hands-on experience in teaching subjects like electrical circuits, VLSI design, digital signal processing, and microprocessors. Before her academic stint, she served as a Design Engineer at ALCOVE in Dhaka, Bangladesh where she was responsible for providing electrical and architectural drawings along with planning and executing projects. Tasmeea holds a Ph.D. in Project Management from Universiti Putra Malaysia with a perfect CGPA of 4.00/4.00. She also earned a Master of Engineering Management from the same university and an MBA in Marketing from the University of Dhaka. Her educational foundation is built on a Bachelor's Degree in Electrical and Electronics Engineering from United International University in Bangladesh. In addition to her formal education, Tasmeea has several certifications including Train the Trainer Certification from HRD Corp and Agile Project Management Certifications from Google via Coursera. She is proficient in multiple engineering software tools and programming languages including MATLAB, AutoCAD, C++, Assembly language, and Python. Fluent in both Bengali and English, Tasmeea is committed to continuous learning and professional development.
Instructor Reviews
Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative.
Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges.
The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion.
FAQs
Courses you may like
Why should you attend?
The course begins by addressing the current challenges faced in traditional waste management systems, highlighting inefficiencies and environmental impacts. It then explores how technology is transforming this sector, with a focus on the benefits of adopting smart solutions that leverage IoT, AI, and data analytics. Participants will gain an understanding of the Internet of Things (IoT) and its specific applications in waste management. Through case studies, learners will see real-world examples of IoT-enabled waste solutions that have improved efficiency and sustainability. The course delves into the role of Artificial Intelligence (AI) in waste processes, including sorting and processing. Predictive analytics for waste generation is also covered, providing insights into future trends and helping organizations plan more effectively. Data analytics is emphasized as a critical tool for informed decision-making in waste management. Participants will learn about collecting and analyzing waste data to optimize operations and improve outcomes. Smart sensors and devices are explored, focusing on their types, real-time monitoring capabilities, and integration with management systems. Communication networks and protocols are discussed to ensure connectivity and secure data transmission in urban environments. Case studies highlight successful implementations globally, offering lessons learned and insights into scalability. The course concludes with strategic planning for smart waste management, integration with existing systems, data management, regulatory considerations, measuring success through key performance indicators, and exploring future trends.
What you'll learn
- Discover various smart sensors used for real-time monitoring of waste levels.
- Evaluate successful global implementations to understand scalability and adaptability.
- Understand the challenges of traditional waste management and the transformative role of technology.
- Gain skills in data collection, analysis, and using analytics for operational optimization.
- Explore IoT applications specific to waste management through real-world case studies.
- Learn about AI applications in waste sorting, processing, and predictive analytics.
- Examine communication technologies essential for maintaining connectivity in urban environments.
- Develop a comprehensive strategy for implementing smart waste management solutions.
Course Syllabus
Day 1 - Smart Waste Fundamentals
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - IoT and AI Applications
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Instructor Reviews
Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative.
Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges.
The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion.
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Classification
Industry Specific Course
- Tailored to specific industry needs
- Focuses on specialized tools and techniques
- Ensures alignment with current and future standards
- Provides targeted, practical training
- Verified by industry experts
Subsidies
Ratings and Reviews
Instructor
Tasmeea Rahman is a highly skilled and versatile professional with a rich background in both academia and industry. Currently serving as a Freelance Corporate Trainer at Abundent in Kuala Lumpur, Malaysia, Tasmeea specializes in developing content and providing training on a wide array of subjects including Machine Learning, Data Analysis with Python, MS Excel, Power BI, Minitab, Jaspersoft, Apache Superset, TIBCO Spotfire, and various electrical and mechanical 2D/3D design tools such as AutoCAD and Autodesk Fusion 360. Her role also encompasses project management training. Previously, Tasmeea worked as an Adjunct Lecturer at Leading University in Sylhet, Bangladesh where she was involved in curriculum development and delivering engaging lectures on electrical and electronics courses. She has hands-on experience in teaching subjects like electrical circuits, VLSI design, digital signal processing, and microprocessors. Before her academic stint, she served as a Design Engineer at ALCOVE in Dhaka, Bangladesh where she was responsible for providing electrical and architectural drawings along with planning and executing projects. Tasmeea holds a Ph.D. in Project Management from Universiti Putra Malaysia with a perfect CGPA of 4.00/4.00. She also earned a Master of Engineering Management from the same university and an MBA in Marketing from the University of Dhaka. Her educational foundation is built on a Bachelor's Degree in Electrical and Electronics Engineering from United International University in Bangladesh. In addition to her formal education, Tasmeea has several certifications including Train the Trainer Certification from HRD Corp and Agile Project Management Certifications from Google via Coursera. She is proficient in multiple engineering software tools and programming languages including MATLAB, AutoCAD, C++, Assembly language, and Python. Fluent in both Bengali and English, Tasmeea is committed to continuous learning and professional development.
FAQs
Courses you may like
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